Research on Prediction of Battery Residual Discharge of New Energy Electric Vehicle Based on Genetic Algorithm

Abstract

Aiming at the problem of high complexity caused by temperature in the prediction method of electric vehicle battery residual discharge, a prediction method of new energy electric vehicle battery residual discharge based on genetic algorithm is proposed. Determine the objective function based on genetic algorithm, analyze the voltage and current, and build the battery model; Without considering the longitudinal acceleration, the capacity of the battery pack is calculated, and the ampere hour measurement method is used to establish the model to predict the residual discharge of the battery of new energy electric vehicles. The experimental results show that the prediction accuracy of this method is similar to the actual value at room temperature, which effectively reduces the time complexity of the residual discharge energy prediction method of new energy electric vehicles, and is more suitable for electric vehicle engineering.